• Journal of Korean Academy of Nursing
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• v.40 no.2
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• pp.191-201
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• 2010

Purpose: The aim of this study was to compare the predictors of physical activity between urban and rural dwelling Korean older adults. Methods: This study was a cross-sectional descriptive survey. A self-report questionnaire or face to face interviews were used to collect data from 336 older adults (urban: 129, rural: 207) who visited public health centers or welfare centers in 2008. Results: About half of the participants (urban: 50.4%, rural: 47.3%) were classified as the minimally active group. Cognitive function (odds ratio [OR]=1.106, p=.004) and loneliness (OR=0.965, p=.044) were predicting factors for physical activity in rural elderly. Age (OR=0.326, p=.037), gender (OR=2.841, p=.021) and depression (OR= 0.799, p<.001) were significant factors predicting physical activity in urban elders. Conclusion: These findings provide information that is relevant in designing interventions to enhance physical activity in older adults. There is a need to develop effective mutifaceted physical activity interventions that include reducing psychological barriers such as depression, loneliness.

• Journal of Korean Society for Geospatial Information Science
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• v.24 no.2
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• pp.3-13
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• 2016

The development impact fee (DIF) zoning is used to adequately provide the pre-planned urban infrastructures in those urban and regional sectors where significant urban sprawl has already taken place followed by the rapid population growth. The infrastructure installation fees are levied to those landowners whose properties belong to the DIF zone in which they enjoy the direct benefits that accrue from the installed infrastructures. While the law is deemed to be equitable in that the actual beneficiaries pay for their benefits, it is required to designate the zone boundaries accurately and consistently since they are the very dividers that differentiate the legitimate fee-payers and the free-riders. This study, especially, tries to test a seemingly advanced alternative, so-called the cost-weighted distance measure, as a potential candidate to replace the current air-distance measures to designate the zone boundaries. The statistics indicate that the coefficient of variation for major indices spread from 11.75 to 35.6 in the case of the latter method, it only ranges from 0.21 to 0.76 in the case of the former. The zonal outcomes also show much higher consistency in their shapes. It is hoped, in this context, that the study findings could possibly be adopted in the future research efforts expected soon to amend and improve the current DIF zoning law.

• Research in Community and Public Health Nursing
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• v.31 no.spc
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• pp.563-576
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• 2020

Purpose: The purpose of this study is to identify personal factors, social factors, and environmental factors related to physical activity in older adults in urban and non-urban areas. Methods: We used source data from the 2017 Community Health Survey. The subjects of this study included some older adults aged 65 and over, and analyzed the data of 23,043 older adults living in the urban and 34,063 older adults living in the non-urban area. Results: The common factors influencing physical activity in older adults by region include current smoking and drinking, BMI, sleep duration, and subjective health status, help with neighbors, frequency of meeting with neighbors and friends, participation in social and leisure activities, and falls experience (p<.001). However, the living environment, public transport satisfaction, and medical service use significantly associated with physical activity for only older adults living in the urban area (p<.001). Conclusion: In order to improve physical activity in older adults in the community, it is necessary to consider not only the improvement of individual factors that practice health behaviors but also health promotion strategies that take into account social and environmental factors because there are environmental differences among regions.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.299-303
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• 2011

Congestion is a growing concern of many global cities and the demands on Infrastructure services within a locale coupled by the rising expectations from the growing population places stress on these cities. This entails the ability to build a sustainable community that requires an understanding and recognition of Population growth, changing demographics and the ever changing urban development on both a macro and micro level. Infrastructure is an integral part of Australian economy, particularly the 'Infrastructure Assets Management' which highlights the importance towards the development of sustainable communities for Melbourne's future. Melbourne 2030 is a comprehensive representation of government's response to a wide-ranging population growth within Melbourne metropolitan and surrounding areas. Urban plan and specific Infrastructure Assets Planning needs not only to provide sufficient Infrastructure to a community, but it must also be efficient and innovative so that it produces an optimised management system. A system that incorporates engineering techniques that will be sustainable for decades to come by maintaining an acceptable level of services to its intended community in an effective manner, which also strengthens service delivery. The fundamental challenges for optimization of Infrastructure with the Melbourne urban plan is, the ability to manage and sustain maintenance of Infrastructure to provide the acceptable level of service required by the community in a most effective manner which also strengthens service delivery to contribute towards Melbourne 2030. This paper particularly investigates some of the fundamental issues within the Melbourne urban plan such as Infrastructure Asset Management, AusLink and the Australian Road Management Act 2004, which the Governments at all levels must deal with to provide an economically viable solution to the changing Infrastructure so it may suits the needs and services the strategies of a metropolis.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.1
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• pp.47-54
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• 2019

This study proposes a new ERAM model with building population weighting. Previous studies of applying weightings on ERAM model on the scale of urban space were focused on the relationship between the street and the human behavior. However, this study focuses on the influences that buildings give to human behavior and develops a building population weighted ERAM model. This research starts by analyzing ERAM model to its basic compositions, which are adjacency matrix and row vector. It applies building population weighting to the row vector, while previous studies put weightings in the adjacency matrix. Building population weighted ERAM model calculates the building population weighting based on GIS data, which provides objective and massive data of buildings in the urban scale. For the verification of the model, Insa-dong and Myeong-dong were analyzed with both ERAM model and building population weighted ERAM model. The results were analyzed through the correlation test with actual pedestrian population data of the two districts. As a result, the explanation ability of building population weighted ERAM model for the pedestrian population turned out to be higher than the ERAM model. Since building population weighted ERAM model has the structure that can be combined with other weighted ERAM models, it is expected to develop a multi-weighted ERAM model with better explanation ability as a further study.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.4
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• pp.97-115
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• 2023

In recent years, the structure of the population has been changing rapidly, with a declining birthrate and aging population, and the inequality of population distribution is expanding. At this point, changes in population estimation methods are required, and more accurate estimates are needed at the subregional level. This study aims to estimate the population in 2040 at the 500m grid level by applying an explainable machine learning to Busan in order to respond to this need for a change in population estimation method. Comparing the results of population estimation by applying the explainable machine learning and the cohort component method, we found that the machine learning produces lower errors and is more applicable to estimating areas with large population changes. This is because machine learning can account for a combination of variables that are likely to affect demographic change. Overestimated population values in a declining population period are likely to cause problems in urban planning, such as inefficiency of investment and overinvestment in certain sectors, resulting in a decrease in quality in other sectors. Underestimated population values can also accelerate the shrinkage of cities and reduce the quality of life, so there is a need to develop appropriate population estimation methods and alternatives.

• Journal of Korean Society of Rural Planning
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• v.19 no.4
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• pp.203-212
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• 2013

The aging of farm households has caused serious problems such as productivity slowdown and aggravated income polarization in South Korea. Urban-to-rural migration has been recently suggested as a measure to attenuate the aging of rural population and other related problems. The inflow of migrants for farming can have a substantial effect on agriculture and rural communities while the natural adjustment of rural population caused by birth and death is slow. This paper forecasts population distribution of different provinces using the Origin-Destination (OD) analysis, taking into account both the size and directions of migration. In the analysis, nodes where the migration takes place are divided by the industrial sectors (agriculture and non-agriculture), regions, and ages. The results of a ten-year forecast shows that the aging of total population in most provinces will be intensified, but the portion of people over sixty will decrease in the agricultural sector. This finding implies that migration into rural areas, when occurring by a large extent, can mitigate the aging process and attendant problems.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.17 no.6 s.123
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• pp.491-497
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• 2007

Reasonably accurate estimation of the exposed population to the distinct levels of noise is essential to the efficient management of urban environmental noise. This study proposes a method of calculating the number of exposed people to industrial noise by using GIS tool and noise mapping. The exposed population of noise based on estimation of the number of people that lived in each building in urban area is compared with the one based on density of population. This study suggests the five step method that consists of gathering the fundamental data, extracting the property from the digital map, noise mapping based on the three dimensional topography, estimating population that lives in each building, merging the various results with GIS tool, and estimating exposed population to industrial noise through analyzing the noise map with GIS tools.

• Journal of Environmental Impact Assessment
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• v.2 no.2
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• pp.1-11
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• 1993

Most developing countries are experiencing rapid urbanization and the associated growth of industry and services. Cities are currently absorbing two-thirds of the total population in the developing world. Korea has about 85 percent of urban dwellers. World population will shift from being predominantly rural to predominantly urban around the turn of the century. Although cities play a key role in development process and make more than a proportionate contribution to national economic growth, especially cities are also the main catalysts of economic growth in developing countries, they can also be unhealthy, inefficient, and inequitable places to live. Most developing countries are increasingly unable to provide basic environmental infrastructure and services, whether in the megacities or in secondary urban centers. Of particular concern is the strain on natural resources brought by the increasing number of people, cars, and factories. They are generating ever greater amounts of urban wastes and emissions. They also exceed the capacity of regulatory authorities to control them and of nature to assimilate them. The environmental consequences are translated into direct negative impacts on human health, the quality of life, the productivity of the city, and the surrounding ecosystems. Environmental degradation threatens the long tenn availability and quality of natural resources critical to economic growth. Cities, with their higher and growing per capita energy use for domestic, industrial, and transport purpose also contribute a disproportionate share of the emission leading to global warming and acid rain. An important priority is to develop strategic approaches for managing the urban environment. The design of appropriate and lasting strategic responses requires first an understanding of the underlying causes of urban environmental deterioration, it is necessary that longer tenn objectives should be set for urban area to avoid irreversible ecological damage and to ensure lasting economic development. As a means to the preventive policies against the adverse effect, environmental impact assessment (EIA) serve to identify a project's possible environmental consequences early enough to allow their being taken into consideration in the decision making process for urban planning. This paper describes some considerations of EIA for urban planning-scoping, assessment process, measurement and prediction of impacts, pollution controls and supervision, and system planning for environmental preservation.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.10
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• pp.83-90
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• 2019

The purpose of the present study is to confirm, through quantitative indices, changes arising with the implementation of urban regeneration projects, with a specific focus on the case of Dongnam-gu, Cheonan, one of the 13 priority rgions in urban regeneration. By utilizing quantitative data including resident population, floating population, revenue, number of small business persons, number of startup companies, and number of licensed buildings, the study confirmed changes in Dongnam-gu and other urban regeneration areas. The study compared monitoring results and implemented project policies to confirm changes within the area as a result of project implementation. Additionally, resident perception toward business districts was surveyed to confirm changes in perception and opinion, and monitoring indices were used to confirm changes as a result of project implementation. Accordingly, the study presented a plan to carry out the assessment of urban regeneration projects, which can be employed as data for conducting future urban regeneration projects. Urban regeneration projects are carried out for the long-term. Therefore, based on monitoring and investigative data, they require constant policy suggestions and periodic monitoring in accordance with changes resulting from project implementation. With regards to the effective range of urban regeneration projects, the study confirmed the possibility of an effect not only in the area of project implementation but also in surrounding areas. However, because the study merely confirms changes in Dongnam-gu, Cheonan, additional research is necessary to ascertain assessment plans suitable to the different types and regional characteristics of urban regeneration projects.